JP2019212200A - Medicine management device, medicine management method, and program for medicine management - Google Patents

Abstract

To estimate the remaining amount of medicine prescribed to a subject without depending on input of information performed by the subject.SOLUTION: A medicine management device comprises: a first acquisition unit 311 that acquires prescription data including data indicating a medicine prescribed to a subject; a second acquisition unit 313 that acquires biological data including data indicating a variation in the biological, physical quantity of the subject; a first estimation unit 314 that estimates the presence or absence of use of the medicine by the subject on the basis of the data indicating the variation in the physical quantity; and a second estimation unit 315 that estimates the remaining amount of medicine on the basis of the prescription data and the number of times of use according to the presence or absence of use of the medicine.SELECTED DRAWING: Figure 8

Description

  The present invention relates to a medicine management apparatus, a medicine management method, and a medicine management program for managing the remaining amount of medicine prescribed to a subject.

  As disclosed in Patent Document 1, development of a technique for managing the remaining amount of a prescribed medicine is underway.

  The technique disclosed in Patent Document 1 accepts the subject's medication input and subtracts the amount of medication to be taken at the medication timing indicated by the medication input from the remaining amount of the prescribed medication.

Japanese Patent Laid-Open No. 2006-168243

  However, the technique disclosed in Patent Document 1 depends on input of information by the subject. If the subject neglects to input information, the remaining amount managed by the technique disclosed in Patent Document 1 greatly deviates from the actual remaining amount.

  An object of the present invention has been made by paying attention to the above circumstances, and is to provide a technique for estimating the remaining amount of medicine prescribed to a subject without depending on the input of information by the subject.

According to a first aspect of the present disclosure, a first acquisition unit that acquires prescription data including data indicating a medicine prescribed to a subject, and biological data including data indicating a change in physical quantity of the subject's living body A second acquisition unit to be acquired, a first estimation unit for estimating the presence or absence of use of the medicine by the subject based on data indicating fluctuations in the physical quantity, and the presence or absence of use of the prescription data and the medicine And a second estimation unit that estimates the amount of remaining medicine based on the number of times of use.
According to the 1st aspect, the chemical | medical agent management apparatus can estimate a subject's remaining amount of medicine by using biometric data and prescription data, without depending on the input of the information by a subject. The medicine management device can improve the estimation accuracy of the remaining drug amount by estimating the remaining drug amount of the subject without depending on the input of information by the subject. As a result, the subject can grasp the remaining drug amount while omitting the input indicating the use of the drug.

According to a second aspect of the present disclosure, in the first aspect, the prescription data includes data indicating a prescription amount of the drug and data indicating a usage amount of the drug per time, and the second estimation Is configured to estimate the remaining drug amount based on the prescription amount, the use amount, and the number of uses.
According to the 2nd aspect, the chemical | medical agent management apparatus can improve the estimation precision of the amount of remaining medicines by estimating the amount of remaining medicines of a subject using the prescription amount, the amount of use, and the frequency | count of use.

According to a third aspect of the present disclosure, in the first aspect, the information processing apparatus further includes a determination unit that determines a type of the physical quantity to be acquired based on data indicating the medicine.
The physical quantity varies depending on the drug. According to the third aspect, the medicine management device can determine the type of physical quantity suitable for estimating the presence or absence of use of the medicine by the subject based on the medicine.

According to a fourth aspect of the present disclosure, in the first aspect, the first estimation unit compares the data indicating the change in the physical quantity with a predetermined use estimation criterion, and indicates the change in the physical quantity. Whether or not the drug is used is estimated according to whether or not the use estimation criterion is satisfied.
According to the 4th aspect, the chemical | medical agent management apparatus can estimate the presence or absence of use of a chemical | medical agent, without using a human estimation blur by using a usage estimation reference | standard for each person.

According to a fifth aspect of the present disclosure, in the first aspect, an output unit that outputs a signal that supports the subject according to the amount of remaining medicine is further provided.
According to the fifth aspect, the medicine management device informs the subject that the amount of the remaining medicine is low, or prompts the subject to consult with the hospital or to prescribe the medicine according to the amount of the remaining medicine. be able to.

According to a sixth aspect of the present disclosure, in the first aspect, the prescription data includes data indicating use timing of the medicine and data indicating an effect occurrence time after use of the medicine. The unit designates a time zone for estimating the use of the drug based on the use timing and the effect occurrence time, and based on data related to the time zone among data indicating fluctuations in the physical quantity The presence or absence of use of the drug is estimated.
Even in a situation where the subject is not using the medicine, the physical quantity of the estimation target data may temporarily deviate from the physical quantity of the reference data by a threshold value or more. According to the sixth aspect, the medicine management device can improve the estimation accuracy of the presence or absence of the use of the medicine by the subject by estimating the presence or absence of the use of the medicine based on the data related to the designated time zone. it can. Furthermore, the medicine management device can reduce the load of the estimation operation by omitting the operation of estimating whether or not the medicine is used in a time zone other than the designated time zone.

According to a seventh aspect of the present disclosure, in the fourth aspect, the prescription data includes data indicating a symptom of the subject, the use estimation criterion includes a criterion for each symptom, and the first estimation Is configured to estimate the presence or absence of use of the drug using a standard corresponding to the symptom of the subject.
The amount of change in physical quantity due to the use of drugs varies depending on the symptoms. According to the 7th aspect, the chemical | medical agent management apparatus can improve the estimation precision of the presence or absence of the use of the chemical | medical agent by a subject by using the reference | standard corresponding to a subject's symptom.

According to an eighth aspect of the present disclosure, in the fourth aspect, the use estimation criterion includes a criterion for each drug, and the first estimation unit determines a criterion corresponding to the drug prescribed to the subject. It is used to estimate the presence or absence of use of the drug.
Even for the same symptom, the amount of change in physical quantity varies depending on the drug used by the subject. According to the eighth aspect, the medicine management device can improve the estimation accuracy of the presence or absence of use of the medicine by the subject by using the standard corresponding to the medicine prescribed to the subject.

According to a ninth aspect of the present disclosure, in the fourth aspect, the prescription data or the biological data includes data indicating an attribute of the subject, and the use estimation criterion includes a criterion for each attribute, The first estimation unit estimates whether or not the medicine is used by using a criterion corresponding to the attribute of the subject.
Even if people with different attributes use the same medicine, the amount of variation in physical quantity is different. According to the 9th aspect, the chemical | medical agent management apparatus can improve the estimation precision of the presence or absence of the use of the chemical | medical agent by a subject by using the reference | standard corresponding to a subject's attribute.

According to a tenth aspect of the present disclosure, in the fifth aspect, the second estimation unit compares the residual drug amount with a predetermined residual drug amount estimation criterion, and the residual drug amount is determined to be the residual drug. It is estimated whether or not a dose estimation criterion is satisfied, and the output unit outputs the signal according to an estimation result indicating that the residual drug amount does not satisfy the residual drug amount estimation criterion. is there.
According to the 10th aspect, the chemical | medical agent management apparatus can perform assistance, without being shaken by a person by using the remaining medicine amount estimation reference | standard for each person.

  In an eleventh aspect of the present disclosure, a first acquisition process for acquiring prescription data including data indicating a medicine prescribed to the subject, and biological data including data indicating a change in physical quantity of the subject's living body Based on the second acquisition process to be acquired, the first estimation process for estimating the presence or absence of use of the drug by the subject based on the data indicating the fluctuation of the physical quantity, the prescription data, and the number of times the drug is used And a second estimation process for estimating the remaining drug amount.

  According to the 11th aspect, the chemical | medical agent management method can acquire the effect similar to the above-mentioned 1st aspect.

  A twelfth aspect of the present disclosure is a medicine management program that causes a computer to execute processing of each unit included in the medicine management apparatus according to any one of the first to tenth aspects.

  According to the twelfth aspect, the drug management program can obtain the same effects as those of the first aspect described above.

  ADVANTAGE OF THE INVENTION According to this invention, the technique which estimates the residual amount of the medicine prescribed | regulated to the subject without depending on the input of the information by a subject can be provided.

The figure which shows typically the example of application of the chemical | medical agent management server which concerns on this embodiment. The figure which illustrates the whole structure of the chemical | medical agent management system which concerns on this embodiment. The block diagram which illustrates the hardware constitutions of the PHR server concerning this embodiment. The figure which illustrates the PHR database stored in the PHR server concerning this embodiment. The block diagram which illustrates the hardware constitutions of the EHR server which concerns on this embodiment. The figure which illustrates the EHR database stored in the EHR server which concerns on this embodiment. The block diagram which illustrates the hardware constitutions of the medicine management server concerning this embodiment. The block diagram which illustrates the software composition of the medicine management server concerning this embodiment. The flowchart which illustrates the remaining medicine amount estimation operation | movement in the chemical | medical agent management server concerning this embodiment.

  Hereinafter, an embodiment according to the present disclosure (hereinafter also referred to as “this embodiment”) will be described with reference to the drawings. However, this embodiment described below is only an example in all points. Hereinafter, elements that are the same as or similar to elements already described are denoted by the same or similar reference numerals, and redundant descriptions are basically omitted.

§1 Application examples
The present embodiment is a technique for managing the remaining amount of medicine prescribed to each person based on each person's biometric data and prescription data.
FIG. 1 is a diagram schematically illustrating an application example of the medicine management server A1.
The medicine management server A1 acquires prescription data from an EHR (Electronic Health Records) server A2. The prescription data is data relating to a drug prescribed to the subject. The prescription data includes data indicating the medicine prescribed to the subject. The medicine management server A1 acquires biometric data from a PHR (Personal Health Records) server A3. The biological data is data including data indicating fluctuations in physical quantities of the subject's biological body.

  The medicine management server A1 estimates the presence / absence of use of the medicine by the subject based on the data indicating the fluctuation of the physical quantity. The medicine management server A1 estimates the remaining amount of medicine based on the prescription data and the number of times the medicine is used depending on whether or not the medicine is used. When the remaining medicine amount is equal to or less than the predetermined amount, the medicine management server A1 can execute support for the subject. For example, the medicine management server A1 can execute support for notifying the subject that the remaining medicine amount has decreased to a predetermined amount or less. For example, the medicine management server A1 can execute support for prompting a subject to make a medical examination or reservation for a medicine prescription.

  Thus, the medicine management server A1 can link each person's prescription data stored in the EHR server A2 with each person's biometric data stored in the PHR server A3. The medicine management server A1 can estimate the remaining amount of medicine prescribed to the subject without depending on the input of information by the subject.

§2 Configuration example
<Drug management system>
FIG. 2 is a diagram illustrating an overall configuration of the medicine management system 100.
The drug management system 100 includes a PHR (Personal Health Records) server 1, an EHR (Electronic Health Records) server 2, and a drug management server 3. The PHR server 1, the EHR server 2, and the medicine management server 3 can communicate with each other via a network. For example, the network is the Internet.

  The PHR server 1 is a server that collects and manages data indicating changes in physical quantities of each person's living body. Data indicating the fluctuation of the physical quantity of the living body is also referred to as physical quantity data. The physical quantity data is data that associates the physical quantity of the living body with the measurement time of the physical quantity of the living body. The physical quantity of the living body is a physical quantity measured from the living body. For example, the physical quantities of the living body are blood pressure, blood glucose level, heart rate, and electrocardiogram, but are not limited thereto. A physical quantity of a living body is measured by a measuring instrument capable of continuously measuring. For example, blood pressure is measured by a sphygmomanometer that can continuously measure every beat. Instead of or together with this, the physical quantity of the living body may be measured by a measuring device that measures based on each person's measurement instruction. For example, the blood pressure may be measured by a sphygmomanometer that measures based on each person's measurement instruction. The measurement method of the physical quantity of the living body is a method using a pressure sensor and a method using a photoelectric sensor, but is not limited to these. The PHR server 1 may acquire the physical quantity data directly from the measuring device or may acquire it through a mobile terminal such as a smartphone.

  The EHR server 2 is a server that manages data related to medicines prescribed to each person. For example, the EHR server 2 collects data related to medicines prescribed to each person in cooperation with an electronic medical record that a doctor inputs using a PC (Personal Computer). Instead of or together with this, for example, the EHR server 2 may collect data related to the medicine prescribed to each person in cooperation with data input by the pharmacist using the PC.

  The medicine management server 3 is a server that links physical quantity data of each person stored in the PHR server 1 and data related to medicine prescribed to each person stored in the EHR server 2. The medicine management server 3 manages the remaining amount of medicine prescribed to each person based on the physical quantity data of each person and the data related to the medicine prescribed to each person. The remaining amount of the drug is also referred to as the remaining drug amount. The medicine management server 3 is also called a medicine management device.

<PHR server>
[Hardware configuration]
FIG. 3 is a block diagram illustrating a hardware configuration of the PHR server 1.
The PHR server 1 includes a processor 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage device 14, and a communication interface 15. Each element is electrically connected to each other. In FIG. 3, the communication interface is described as “communication I / F”.

  The processor 11 controls each element of the PHR server 1. For example, the processor 11 is a CPU (Central Processing Unit), but is not limited thereto. The processor 11 expands a program for executing the PHR server 1 stored in the storage device 14 in the RAM 13. The processor 11 can execute various operations by interpreting and executing the program expanded in the RAM 13.

  The storage device 14 is a so-called auxiliary storage device. For example, the storage device 14 is an HDD (Hard Disk Drive), but is not limited thereto. The storage device 14 stores a program executed by the processor 11. Note that the program may be stored in the storage device 14 in advance. The program may be downloaded to the PHR server 1 via a network. The program may be stored in a non-transitory computer readable medium and distributed.

  The storage device 14 stores a PHR database. The PHR database is a database that manages physical quantity data of each person. A configuration example of the PHR database will be described later.

  The communication interface 15 is an interface for connecting the PHR server 1 to be communicable with other devices. The communication interface 15 may include an interface for wired communication or an interface for wireless communication.

  In addition, regarding the specific hardware configuration of the PHR server 1, components can be omitted, replaced, and added as appropriate according to the embodiment. For example, the PHR server 1 may include a plurality of processors.

[PHR database configuration]
FIG. 4 is a diagram illustrating a PHR database stored in the storage device 14 of the PHR server 1. The PHR database has items of a user name, a user ID, an attribute, and a physical quantity of the living body. The user name item is an item indicating the name of each person. The item of user ID is an item indicating identification information uniquely assigned to each person. The attribute item is an item indicating characteristics of each person. The item of attribute has the item of sex, age, and nationality. The item of the physical quantity of the living body is an item indicating the presence / absence of physical quantity data measured from the living body of each person. The item of the physical quantity of the living body includes a blood pressure item, a blood glucose level item, and a heart rate item. For example, when the item of blood pressure of a person indicates “Yes”, the storage device 14 stores data indicating the fluctuation of the blood pressure of the person. On the other hand, when the item of the blood pressure of a person indicates “none”, the storage device 14 does not store data indicating fluctuations in the blood pressure of the person. The same applies to the item of blood glucose level and the item of heart rate.

  Note that the PHR database may have items other than the items of name, ID, attribute, and physical quantity of the living body. The PHR database may not have any item of the user name and the user ID. The PHR database may not have an attribute item. The attribute item may include other items in addition to the sex, age, and nationality items. The attribute item may include another item instead of at least one of the sex, age, and nationality items. The attribute item may not have at least one of the items of gender, age, and nationality. The item of the physical quantity of the living body may include other types of physical quantity items in addition to the blood pressure, blood glucose level, and heart rate items. The item of the physical quantity of the living body may include an item of another type of physical quantity instead of at least one of the items of blood pressure, blood glucose level, and heart rate.

  The processor 11 manages data corresponding to each item of the PHR database as illustrated below. Data indicating a user name, data indicating a user ID, and data indicating an attribute are registered in advance by each person. Data indicating the user name is also referred to as user name data. Data indicating the user ID is also referred to as user ID data. Data indicating attributes is also referred to as attribute data.

  The physical quantity data is managed as exemplified below. The processor 11 refers to the user ID added to the physical quantity data every time the physical quantity data is acquired from the measuring instrument or the portable terminal via the communication interface 15. The processor 11 determines whether or not the physical quantity of the living body acquired this time is a physical quantity of the kind acquired in the past. When the physical quantity of the living body acquired this time is a physical quantity of a type that has not been acquired in the past, the processor 11 sets the item of the physical quantity of the living body acquired this time to “Yes”. The processor 11 stores the physical quantity data acquired this time in the storage device 14. When the physical quantity of the living body acquired this time is a physical quantity of the kind acquired in the past, the processor 11 stores the physical quantity data acquired this time in the storage device 14. The processor 11 associates the physical quantity data acquired this time with the same kind of physical quantity data received in the past and stored in the storage device 14.

  The processor 11 refers to the PHR database and transmits the biological data of the subject to the medicine management server 3 as illustrated below. First, the processor 11 receives a PHR request from the medicine management server 3. The PHR request is a request for biometric data including physical quantity data of the subject from the medicine management server 3 to the PHR server 1. The PHR request includes data specifying biometric data to be acquired. For example, the PHR request includes at least user ID data, data indicating the type of physical quantity to be acquired, and data specifying the period of physical quantity data. The data specifying the period includes at least the start date and time of the period. The data designating the period may include a period before the date and time when the medicine management server 3 transmits the PHR request to the PHR server 1 (hereinafter also referred to as the transmission date and time of the PHR request). The data designating the period may be data designating the period from the start date to the end date before the PHR request transmission date. The data designating the period may be data designating the period from the start date / time before the PHR request transmission date / time to the end date / time after the PHR request transmission date / time. The data designating the period may be data designating the period from the start date to the end date after the PHR request transmission date. The data designating the period may be data that designates a start date and time before the transmission date and time of the PHR request and undesignates an end date and time after the transmission date and time of the PHR request. The data designating the period may be data that designates a start date and time after the transmission date and time of the PHR request and undesignates an end date and time after the transmission date and time of the PHR request.

  Next, the processor 11 refers to data associated with the user ID included in the PHR request in the PHR database. Next, the processor 11 refers to the item of the physical quantity of the living body in the PHR database, and determines whether there is a physical quantity to be acquired. When there is no physical quantity to be acquired, the processor 11 transmits a response indicating that there is no physical quantity to be acquired to the medicine management server 3.

  On the other hand, when there is a physical quantity to be acquired, the processor 11 acquires physical quantity data to be acquired from the storage device 14. When the data specifying the period includes a period before the transmission date and time of the PHR request, the processor 11 generates biometric data including the physical quantity data of the period before the transmission date and time of the PHR request. The biometric data includes at least one of user name data and user ID data. The biometric data may include attribute data. The processor 11 transmits the biometric data to the medicine management server 3.

  When the data specifying the period includes designation after the transmission date and time of the PHR request, the processor 11 generates biometric data including physical quantity data after the transmission date and time of the PHR request. The biometric data includes at least one of user name data and user ID data. The biometric data may include attribute data. As illustrated below, the processor 11 transmits biometric data including physical quantity data after the transmission date / time of the PHR request to the medicine management server 3 after the transmission date / time of the PHR request. In one example, the processor 11 can continuously transmit biometric data including physical quantity data after the transmission date and time of the PHR request to the medicine management server 3. In another example, the processor 11 can transmit biometric data including physical quantity data for a certain period to the medicine management server 3 for each certain period after the transmission date and time of the PHR request. The fixed period may be time or day.

<EHR server>
[Hardware configuration]
FIG. 5 is a block diagram illustrating a hardware configuration of the EHR server 2.
The EHR server 2 includes a processor 21, a ROM 22, a RAM 23, a storage device 24, and a communication interface 25. Each element is electrically connected to each other. In FIG. 5, the communication interface is described as “communication I / F”.

  The processor 21 controls each element of the EHR server 2. For example, the processor 21 is a CPU, but is not limited to this. The processor 21 develops a program for executing the EHR server 2 stored in the storage device 24 in the RAM 23. The processor 21 can execute various operations by interpreting and executing the program expanded in the RAM 23.

  The storage device 24 is a so-called auxiliary storage device. For example, the storage device 24 is an HDD, but is not limited to this. The storage device 24 stores a program executed by the processor 21. The program may be stored in the storage device 24 in advance. The program may be downloaded to the EHR server 2 via a network. The program may be stored in a non-transitory computer readable medium and distributed.

  The storage device 14 stores an EHR database. The EHR database is a database that manages data related to drugs prescribed to each person. A configuration example of the EHR database will be described later.

  The communication interface 25 is an interface for connecting the EHR server 2 to be communicable with other devices. The communication interface 25 may include an interface for wired communication or an interface for wireless communication.

  In addition, regarding the specific hardware configuration of the EHR server 2, components can be omitted, replaced, and added as appropriate according to the embodiment. For example, the EHR server 2 may include a plurality of processors.

[EHR database configuration]
FIG. 6 is a diagram illustrating an EHR database stored in the storage device 24 of the EHR server 2. The EHR database manages data related to drugs prescribed for each person. The EHR database has items of user name, user ID, attribute, and prescription drug. The user name item is an item indicating the name of each person, as in the PHR database. The user ID item is an item indicating identification information uniquely assigned to each person, as in the PHR database. Similar to the PHR database, the attribute item is an item indicating characteristics of each person. The item of attribute has the item of sex, age, and nationality.

  The prescription drug item is an item related to a drug prescribed to each person. The prescription drug items include prescription date, symptom, drug name, drug ID, prescription amount, use timing, use amount, and effect occurrence time. The item of prescription date is an item indicating the date on which the medicine is prescribed to each person. The item of symptom is an item indicating the symptom of each person diagnosed by a doctor as a cause of prescription of the drug. The item of drug name is an item indicating the name of the drug prescribed to each person. The item of medicine ID is an item indicating identification information uniquely assigned to the medicine prescribed to each person. The prescription amount item is an item indicating the prescription amount of the medicine for each person. Although the item of prescription amount shows a number or the amount of liquids, it is not limited to these. The item of use timing is an item indicating the use timing of each person's medicine. The item of use timing indicates at least one of morning, noon, or night, but is not limited thereto. The item of usage amount is an item indicating the usage amount of the medicine per time for each person. The item of the amount used indicates the number or the amount of liquid, but is not limited thereto. The item of the effect occurrence time is an item indicating a reference time for generating the effect after each person's use of the medicine. The “medicine” used in the present embodiment includes various types. For example, “medicine” includes, but is not limited to, a drug to be taken, a drug to be applied, a drug to be applied, a drug used for irradiation, and a drug used for injection performed by itself. “Use” used in the present embodiment includes various modes according to the type of drug. For example, “use” includes, but is not limited to, taking, pasting, applying, irradiating and injecting.

  The EHR database may have items other than the user name, user ID, attribute, and prescription drug items. The EHR database may not have any item of the user name and the user ID. The EHR database may not have an attribute item. The attribute item may have other items in addition to the sex, age, and nationality items. The attribute item may include another item instead of at least one of the sex, age, and nationality items. The attribute item may not have at least one of the items of gender, age, and nationality. The prescription drug item may have other items in addition to the prescription date, symptom, drug name, drug ID, prescription amount, use timing, use amount, and effect occurrence time item. The prescription drug item may have other items instead of at least one of the prescription date, symptom, drug name, drug ID, prescription amount, use timing, use amount, and effect occurrence time item. Good.

  The processor 21 manages data corresponding to each item in the EHR database, as exemplified below. The processor 21 receives electronic medical chart data input by a doctor using a PC via the communication interface 25. The processor 11 extracts data corresponding to each item in the EHR database based on the electronic medical record data. The processor 11 manages the extracted data in the EHR database. The processor 21 may extract data corresponding to each item in the EHR database based on data input by the pharmacist using the PC.

  The processor 21 refers to the EHR database and transmits prescription data related to the medicine prescribed to the subject to the medicine management server 3 as illustrated below. The prescription data regarding the medicine prescribed to the subject is also referred to as prescription data of the subject. In one example, the processor 21 transmits the prescription data of the subject person to the medicine management server 3 based on the EHR request from the medicine management server 3. The EHR request is a request for prescription data of the subject from the medicine management server 3 to the EHR server 2. In this example, first, the processor 31 receives an EHR request from the medicine management server 3 via the communication interface 35. Next, the processor 11 extracts a prescription date within a predetermined period including the reception date and time of the EHR request from the EHR database. Next, the processor 11 extracts data related to the subject associated with the extracted prescription date from the EHR database, and generates prescription data for the subject. Next, the processor 11 transmits this subject's prescription data to the medicine management server 3.

  In another example, the processor 21 autonomously transmits the prescription data of the subject person to the medicine management server 3. In this example, first, the processor 11 determines a target person regarding newly added prescription drug data based on the addition of new prescription drug data in the EHR database. Next, the processor 11 extracts data related to the subject from the EHR database, and generates prescription data for the subject. Next, the processor 11 transmits this subject's prescription data to the medicine management server 3.

  The prescription data includes user name data, user ID data, and data indicating a prescription drug. Data indicating a prescription drug is also referred to as prescription drug data. Prescription drug data includes prescription date data, symptom data, drug name data, drug ID data, prescription amount data, use timing data, use amount data and effect occurrence time. Contains data to indicate. Data indicating the prescription date is also referred to as prescription date data. Data indicating symptoms is also referred to as symptom data. Data indicating the drug name is also referred to as drug name data. Data indicating the drug ID is also referred to as drug ID data. Data indicating the prescription amount is also referred to as prescription amount data. Data indicating the use timing is also referred to as use timing data. Data indicating the usage amount is also referred to as usage amount data. Data indicating the effect occurrence time is also referred to as effect occurrence time data. The prescription date data is data indicating the date on which the drug is prescribed to the subject. Symptom data includes data indicating the symptoms of the subject. The drug name data is data indicating the name of the drug prescribed to the subject. Therefore, it can be said that the medicine name data is data indicating the medicine prescribed to the subject. The medicine ID data is data indicating identification information uniquely assigned to the medicine prescribed to the subject. Therefore, it can be said that the medicine ID data is data indicating the medicine prescribed to the subject. The prescription amount data is data indicating the prescription amount of the drug for the subject. The use timing data is data indicating the use timing of the subject drug. The usage amount data is data indicating the usage amount of the medicine per time of the subject. The effect occurrence time data is data indicating the effect occurrence time after use of the subject's medicine.

  Note that the prescription data may include attribute data. The prescription data may not include any of the user name data and the user ID data. The data indicating a prescription drug includes at least one of prescription date data, symptom data, drug name data, drug ID data, prescription amount data, use timing data, use amount data, and effect occurrence time data. It does not have to be. The data indicating the prescription drug is replaced with at least one of prescription date data, symptom data, drug name data, drug ID data, prescription amount data, use timing data, use amount data, and effect occurrence time data. Other data relating to the prescribed drug may be included.

<Drug management server>
[Hardware configuration]
FIG. 7 is a block diagram illustrating a hardware configuration of the medicine management server 3.
The medicine management server 3 includes a processor 31, a ROM 32, a RAM 33, a storage device 34, and a communication interface 35. Each element is electrically connected to each other. In FIG. 7, the communication interface is described as “communication I / F”.

  The processor 31 controls each element of the medicine management server 3. For example, the processor 31 is a CPU, but is not limited to this. The processor 31 develops a program for executing the medicine management server 3 stored in the storage device 34 in the RAM 33. The processor 31 interprets and executes the program loaded in the RAM 33, so that the processor 31 can execute each unit described in the item of software configuration.

  The storage device 34 is a so-called auxiliary storage device. For example, the storage device 34 is an HDD, but is not limited to this. The storage device 34 stores a program executed by the processor 31. The program causes the EHR server 2 to be executed as each unit described in the item of software configuration. The program may be stored in the storage device 34 in advance. The program may be downloaded to the medicine management server 3 via a network. The program may be stored in a non-transitory computer readable medium and distributed.

  The communication interface 35 is an interface for connecting the medicine management server 3 to be communicable with other devices. The communication interface 35 may include an interface for wired communication or an interface for wireless communication.

  In addition, regarding the specific hardware configuration of the medicine management server 3, it is possible to omit, replace, and add components as appropriate according to the embodiment. For example, the medicine management server 3 may include a plurality of processors.

Software configuration
FIG. 8 is a block diagram illustrating a software configuration of the medicine management server 3.

  The processor 31 includes a first acquisition unit 311, a determination unit 312, a second acquisition unit 313, a first estimation unit 314, a second estimation unit 315, a first output unit 316, and a second output unit 317. Implement.

  The first acquisition unit 311 will be described. The 1st acquisition part 311 acquires the prescription data regarding the chemical | medical agent prescribed | regulated to the subject so that it may illustrate below. The prescription data includes drug name data and drug ID data. In one example, the first acquisition unit 311 acquires the prescription data of the subject as a response to the EHR request from the medicine management server 3 to the EHR server 2 via the communication interface 35. In another example, the first acquisition unit 311 acquires prescription data of a subject person that the EHR server 2 autonomously transmits via the communication interface 35. The first acquisition unit 311 outputs the prescription data to the determination unit 312, the second acquisition unit 313, the first estimation unit 314, and the second estimation unit 315.

  The determination unit 312 will be described. As illustrated below, the determination unit 312 determines the type of physical quantity to be acquired based on the drug ID data or drug name data. The determination unit 312 refers to a database in which a medicine ID stored in advance in the storage device 14 is associated with a physical quantity of a living body assumed to vary depending on a medicine corresponding to the medicine ID. The determination unit 312 refers to this database to determine the physical quantity of the living body that is assumed to vary depending on the medicine specified from the medicine ID data included in the prescription data. The physical quantity of the living body assumed to fluctuate corresponds to the physical quantity to be acquired. Thereby, the determination unit 312 determines the type of physical quantity to be acquired. The determination unit 312 outputs a determination result indicating the type of physical quantity to be acquired to the second acquisition unit 313. Note that the determination unit 312 may refer to the drug name data instead of the drug ID data, and determine the type of physical quantity to be acquired by the same process as described above.

  The second acquisition unit 313 will be described. The 2nd acquisition part 313 acquires the biometric data containing a subject's physical quantity data so that it may illustrate below. The second acquisition unit 313 acquires prescription data from the first acquisition unit 311. The second acquisition unit 313 acquires user ID data from prescription data. The second acquisition unit 313 acquires a determination result from the determination unit 312. The second acquisition unit 313 acquires data indicating the type of physical quantity to be acquired from the determination result. The second acquisition unit 313 arbitrarily sets data that specifies the period of physical quantity data. The second acquisition unit 313 generates a PHR request. The PHR request includes at least user ID data of the target person, data indicating the type of physical quantity to be acquired, and data specifying the period of the physical quantity data. The second acquisition unit 313 transmits a PHR request to the PHR server 1. The second acquisition unit 313 acquires biometric data including the physical quantity data of the subject from the PHR server 1 as a response to the PHR request via the communication interface 35. The second acquisition unit 313 outputs the biological data of the subject to the first estimation unit 314.

  The first estimation unit 314 will be described. The 1st estimation part 314 estimates the presence or absence of use of the chemical | medical agent by a subject based on physical quantity data so that it may illustrate below. Here, the physical quantity data used for estimating the presence or absence of use of the drug by the subject is referred to as estimation target data. For example, the 1st estimation part 314 estimates the presence or absence of use of the chemical | medical agent by a subject using a usage estimation reference | standard. The usage estimation criterion is a criterion for estimating the presence or absence of use of the drug by the subject. The usage estimation standard is determined in advance. Some examples of usage estimation criteria will be described later. The first estimation unit 314 compares the estimation target data with the usage estimation criterion. The 1st estimation part 314 estimates the presence or absence of use of a chemical | medical agent according to whether estimation object data satisfy | fill the use estimation criteria. When the estimation target data satisfies the usage estimation criterion, the first estimation unit 314 estimates that the subject has used the medicine. On the other hand, when the estimation target data does not satisfy the usage estimation criterion, the first estimation unit 314 estimates that the subject does not use the medicine.

Several examples of usage estimation criteria are described.
In one example, the usage estimation criterion includes a threshold value of the degree of variation within a predetermined period starting from an arbitrary time. One reason for using this usage estimation criterion is that when a subject uses a drug, a change in physical quantity is expected. For example, when the subject uses an antihypertensive agent, a decrease in blood pressure is expected. Note that, depending on the efficacy of the drug, the change in the physical quantity may be not only a decrease but also an increase. Note that the length of the predetermined period can be arbitrarily set. The threshold value may be a fluctuation ratio or a fluctuation amount. The threshold can be arbitrarily set.

  In this example, the first estimation unit 314 receives the subject's biological data from the second acquisition unit 313. The 1st estimation part 314 acquires estimation object data from a subject's biometric data. The first estimation unit 314 obtains the degree of variation of the physical quantity within a predetermined period starting from an arbitrary time based on the estimation target data. The first estimation unit 314 may obtain the degree of variation of the physical quantity based on the minimum physical quantity and the maximum physical quantity within a predetermined period. The first estimation unit 314 compares the degree of variation of the physical quantity within a predetermined period based on the estimation target data with a threshold value included in the use estimation criterion.

  When the variation degree of the physical quantity is greater than or equal to the threshold, the first estimation unit 314 estimates that the estimation target data satisfies the usage estimation criterion. On the other hand, when the variation degree of the physical quantity is less than the threshold, the first estimation unit 314 estimates that the estimation target data does not satisfy the usage estimation criterion. Note that the first estimation unit 314 can set an arbitrary time as a starting point continuously or at regular time intervals. Thereby, the 1st estimation part 314 can estimate continuously the presence or absence of use of the chemical | medical agent by a subject, shifting a starting point.

  In another example, the usage estimation criterion includes a threshold value of the degree of deviation from the reference data. The reference data is physical quantity data that changes or is assumed to change in a situation where the subject does not use the drug. The reference data is stored in the storage device 34. For example, the reference data is physical quantity data in a period during which the subject does not use the medicine among the physical quantity data stored in the PHR server 1. The processor 31 may acquire reference data from the PHR server 1 at an arbitrary timing via the communication interface 35 and store the reference data in the storage device 34. The reference data may be data that is assumed to change in a situation in which a modeled drug is not used, instead of data based on the physical quantity data of the subject. One reason for using this usage estimation criterion is that when the subject uses a drug, a deviation of the physical quantity data from the reference data is expected. The threshold value may be a deviation ratio or a deviation amount. The threshold can be arbitrarily set.

  In this example, the first estimation unit 314 receives the subject's biological data from the second acquisition unit 313. The 1st estimation part 314 acquires estimation object data from a subject's biometric data. The first estimation unit 314 compares the physical quantity of the estimation target data with the physical quantity of the reference data included in the use estimation criterion. In addition, it is preferable that the 1st estimation part 314 compares the physical quantities of the same time in comparison with estimation object data and reference data. For example, the first estimation unit 314 compares a physical quantity at a certain time in the estimation target data with a physical quantity at the same time in the reference data. One reason is that the magnitude of the physical quantity and the tendency of fluctuations in the physical quantity differ depending on the time of day. The 1st estimation part 314 can improve the estimation precision of the presence or absence of the use of the chemical | medical agent by a subject by comparing the physical quantities of the same time.

  When the deviation degree of the estimation target data with respect to the reference data is equal to or greater than the threshold, the first estimation unit 314 estimates that the estimation target data satisfies the usage estimation criterion. On the other hand, when the deviation degree of the estimation target data with respect to the reference data is less than the threshold, the first estimation unit 314 estimates that the estimation target data does not satisfy the use estimation criterion. In addition, when the deviation degree of the estimation target data with respect to the reference data is equal to or greater than the threshold value continuously for a certain time, the first estimation unit 314 may estimate that the estimation target data satisfies the usage estimation criterion. One reason is that the physical quantity of the estimation target data may temporarily deviate from the physical quantity of the reference data by a threshold value or more even when the subject is not using the medicine. The 1st estimation part 314 can improve the estimation precision of the presence or absence of use of the chemical | medical agent by a subject by determining whether a deviation degree continues for a fixed time and is more than a threshold value. The first estimation unit 314 can continuously estimate whether or not the medicine is used by continuously comparing the estimation target data with the reference data.

  In addition, although the example which the 1st estimation part 314 estimates the presence or absence of the use of the chemical | medical agent by a subject using a threshold value was demonstrated, it is not limited to this. The 1st estimation part 314 may estimate the presence or absence of use of the chemical | medical agent by a subject based on physical quantity data, without using a threshold value.

  The first estimation unit 314 generates a first estimation result every time it is estimated that the subject has used the medicine once. The first estimation result indicates that the subject has used the medicine. The first estimation unit 314 outputs the first estimation result to the second estimation unit 315. On the other hand, the first estimation unit 314 generates a second estimation result when it is estimated that the subject does not use the medicine continuously for a predetermined period. The second estimation result indicates that the subject has not used the medicine continuously for a predetermined period. The length of the predetermined period can be changed. The first estimation unit 314 outputs the second estimation result to the second output unit 317.

  Note that the first estimation unit 314 identifies the medicine prescribed to the subject based on the medicine ID data or medicine name data included in the prescription data. The 1st estimation part 314 sets the chemical | medical agent prescribed | regulated to the subject as an estimation object of the presence or absence of use.

  The second estimation unit 315 will be described. As illustrated below, the second estimation unit 315 estimates the amount of remaining medicine based on prescription data and the number of times the medicine is used depending on whether or not the medicine is used. In a typical example, the second estimation unit 315 estimates the amount of remaining medicine based on the prescription amount, the amount used, and the number of times the drug is used.

  First, the estimation of the remaining drug amount when the second estimation unit 315 receives the first first estimation result will be described. The second estimation unit 315 receives the first first estimation result from the first estimation unit 314. The second estimation unit 315 estimates that the subject uses the medicine once based on the first first estimation result, and estimates that the number of times the subject uses the medicine is one time. The second estimation unit 315 receives prescription data from the first acquisition unit 311. The prescription data includes prescription amount data and usage amount data. The 2nd estimation part 315 acquires prescription amount data and usage-amount data from prescription data. The 2nd estimation part 315 estimates the quantity which subtracted the usage-amount of the chemical | medical agent per time from the prescription amount as a residual medicine amount. The second estimation unit 315 stores data indicating the amount of remaining medicine in the storage device 34. Data indicating the remaining drug amount is also referred to as remaining drug amount data.

  Next, estimation of the remaining drug amount when the second estimation unit 315 receives the first and second estimation results will be described. The second estimation unit 315 receives the first estimation result for the second time. The second estimation unit 315 estimates that the subject has used the medicine once again based on the first estimation result of the second time, and estimates that the number of times the subject uses the medicine is two times in total. . The second estimation unit 315 acquires the remaining amount data of the subject from the storage device 34. The 2nd estimation part 315 estimates the quantity which subtracted the usage-amount of the chemical | medical agent per time from the remaining medicine amount as a new remaining medicine amount. The second estimation unit 315 stores new residual drug amount data in the storage device 34. Each time the second estimation unit 315 receives the first estimation result after the third time, the remaining amount is updated. Each time the second estimation unit 315 receives the first estimation result, the second estimation unit 315 may estimate a value obtained by subtracting the product of the amount of drug used and the number of times of use from the prescription amount as the remaining drug amount. .

  Further, the second estimation unit 315 compares the residual drug amount with the residual drug amount estimation criterion, and estimates whether or not the residual drug amount satisfies the residual drug amount estimation criterion. The remaining drug amount estimation criterion is a criterion for estimating whether or not the remaining drug amount of the subject remains above a threshold value. The remaining drug amount estimation standard is determined in advance. The threshold value may be the ratio of the remaining drug amount to the prescription amount or the drug amount. The threshold can be arbitrarily set. If the remaining drug amount is equal to or greater than the threshold, the second estimating unit 315 estimates that the remaining drug amount satisfies the remaining drug amount estimation criterion. When the remaining drug amount satisfies the remaining drug amount estimation criterion, it can be said that the amount of the drug that the subject has does not need to be replenished yet. On the other hand, when the remaining drug amount is less than the threshold, the second estimating unit 315 estimates that the remaining drug amount does not satisfy the remaining drug amount estimation criterion. When the remaining drug amount does not satisfy the remaining drug amount estimation criterion, it can be said that the amount of the drug that the subject has needs to be supplemented. When the second estimation unit 315 estimates that the remaining drug amount does not satisfy the remaining drug amount estimation criterion, the second estimation unit 315 generates a third estimation result. The third estimation result indicates that the remaining drug amount does not satisfy the remaining drug amount estimation criterion. The second estimation unit 315 outputs the third estimation result to the first output unit 316.

  The first output unit 316 will be described. The 1st output part 316 outputs the 1st assistance signal which assists the subject mentioned later according to the amount of remaining medicines so that it may illustrate below. The first output unit 316 receives the third estimation result from the second estimation unit 315. The first output unit 316 outputs the first support signal in response to the acquisition of the third estimation result. That is, when the remaining drug amount does not satisfy the remaining drug amount estimation criterion, the first output unit 316 outputs the first support signal. When the remaining drug amount does not satisfy the remaining drug amount estimation criterion, the first output unit 316 does not output the first support signal.

The first support signal will be described.
In one example, the first support signal is a signal for notifying the subject that the remaining drug amount has decreased to an amount that does not satisfy the remaining drug amount estimation criterion. In this example, the first output unit 316 outputs the first support signal to the target person's mobile terminal via the communication interface 35. Based on the first support signal, the portable terminal informs the subject that the remaining drug amount has decreased to an amount that does not satisfy the remaining drug amount estimation criterion. As a result, the subject can contact the hospital and make a reservation for a medical examination or drug prescription.

  In another example, the first support signal is a signal for urging the subject to consult a hospital or prescribe medication. In this example, the first output unit 316 outputs the first support signal to the EHR server 2 via the communication interface 35. Based on the first support signal, the EHR server 2 executes a process for urging the subject to make an appointment at the hospital or to prescribe a medicine prescription. As a result, the subject can contact the hospital and make a reservation for a medical examination or drug prescription.

  The second output unit 317 will be described. The second output unit 317 receives the second estimation result from the first estimation unit 314. The second output unit 317 outputs a second support signal that supports the target person in response to the acquisition of the second estimation result. The second support signal is a signal for prompting the subject to use the medicine. The second output unit 317 outputs the second support signal to the target person's mobile terminal via the communication interface 35. Based on the second support signal, the mobile terminal prompts the subject to use the medicine by image or sound. Thereby, the subject can start or resume use of the medicine.

§3 Example of operation
<Drug management server>
[Residual drug amount estimation]
FIG. 9 is a flowchart illustrating the remaining medicine amount estimation operation in the medicine management server 3.
Note that the processing procedure described below is merely an example, and each processing may be changed as much as possible. In addition, for the processing procedure described below, steps can be omitted, replaced, and added as appropriate.

  The 1st acquisition part 311 acquires prescription data regarding the medicine prescribed to the subject (Step S101). In step S <b> 101, the first acquisition unit 311 acquires prescription data of the subject including drug ID data or drug name data from the EHR server 2 as illustrated. The first acquisition unit 311 outputs the prescription data to the determination unit 312, the second acquisition unit 313, the first estimation unit 314, and the second estimation unit 315.

  The determination unit 312 determines the type of physical quantity to be acquired (step S102). In step S102, as illustrated, the determination unit 312 determines the type of physical quantity to be acquired based on the drug ID data or drug name data included in the prescription data. The determination unit 312 outputs the determination result to the second acquisition unit 313.

  The second acquisition unit 313 acquires biometric data including the physical quantity data of the subject (Step S103). In step S103, the second acquisition unit 313 acquires the subject's biometric data from the PHR server 1 as illustrated. The second acquisition unit 313 outputs the biological data of the subject to the first estimation unit 314.

  The 1st estimation part 314 estimates the presence or absence of use of the chemical | medical agent by a subject (step S104). In step S104, as illustrated, the first estimation unit 314 specifies a medicine prescribed to the subject based on the prescription data, and estimates whether the subject uses the medicine based on the physical quantity data. The first estimation unit 314 outputs the first estimation result to the second estimation unit 315 when it is estimated that the subject has used the medicine. On the other hand, the first estimation unit 314 outputs the second estimation result to the second output unit 317 when it is estimated that the subject does not use the medicine continuously for a predetermined period.

  When it is estimated that the subject has used the drug (step S104, Yes), the second estimation unit 315 estimates the remaining drug amount (step S105). In step S105, as illustrated, the second estimation unit 315 estimates the amount of remaining medicine based on the prescription data and the number of times the medicine is used depending on whether or not the medicine is used.

  The second estimation unit 315 estimates whether or not the remaining drug amount satisfies the remaining drug amount estimation criterion (step S106). In step S106, as illustrated, the second estimation unit 315 estimates whether or not the remaining drug amount satisfies the remaining drug amount estimation criterion according to whether or not the remaining drug amount is equal to or greater than the threshold value. When the second estimation unit 315 estimates that the remaining drug amount does not satisfy the remaining drug amount estimation criterion, the second estimation unit 315 outputs the third estimation result to the first output unit 316.

  When it is estimated that the remaining drug amount satisfies the remaining drug amount estimation criterion (step S106, Yes), the processor 31 ends the remaining drug amount estimation operation. When it is estimated that the remaining drug amount does not satisfy the remaining drug amount estimation criterion (No in step S106), the first output unit 316 outputs a first support signal (step S107). In step S107, as illustrated, the first output unit 316 outputs the first support signal according to the acquisition of the third estimation result.

  When it is estimated that the subject has not used the medicine continuously for a predetermined period (step S104, No), the second output unit 317 outputs the second support signal (step S107). In step S107, as illustrated, the second output unit 317 outputs the second support signal according to the acquisition of the second estimation result.

  In step S104, the first estimation unit 314 may specify a time zone for estimating the presence / absence of use of the drug based on the use timing and the effect occurrence time, as illustrated below. The time zone designated by the first estimation unit 314 is also referred to as a designated time zone. In this example, the first estimation unit 314 receives prescription data from the first acquisition unit 311. The prescription data includes use timing data and effect occurrence time data. The first estimation unit 314 acquires use timing data and effect occurrence time data from the prescription data. The first estimation unit 314 sets a time zone of use timing indicated by use timing data according to a predetermined rule. The predetermined rule can be set arbitrarily. The predetermined rule is preferably a rule that sets the time zone of use timing to a certain length. One reason is that an appropriate setting of a time zone for use timing leads to an appropriate designation of a time zone for estimating the presence or absence of use of a medicine. The 1st estimation part 314 estimates the time slot | zone which added the effect occurrence time shown by the effect occurrence time data to the time slot | zone after conversion as a time slot | zone which estimates the presence or absence of use of a chemical | medical agent. For example, it is assumed that the use timing data is data indicating morning and the effect occurrence time data is data indicating 1 hour. The first estimation unit 314 sets the time zone of use timing from 6 o'clock to 9 o'clock. The first estimation unit 314 estimates a time zone from 7 o'clock to 10 o'clock, which is obtained by adding 1 hour to a time zone from 6 o'clock to 9 o'clock, as a time zone for estimating the presence or absence of use of the medicine. The 1st estimation part 314 estimates the presence or absence of use of a chemical | medical agent based on the data relevant to the designated time slot | zone among physical quantity data. Thereby, when the data relevant to the designated time zone satisfy the usage estimation criterion, the first estimation unit 314 estimates that the subject is using the medicine. On the other hand, when the data related to the time zone other than the designated time zone satisfies the usage estimation criterion, the first estimation unit 314 does not estimate that the subject is using the medicine. One reason is that the value based on the estimation target data may temporarily exceed the threshold even if the subject is not using the medicine. The 1st estimation part 314 can improve the estimation precision of the presence or absence of the use of the chemical | medical agent by a subject by estimating the presence or absence of the usage of a medicine based on the data relevant to a designated time slot | zone. For example, the first estimation unit 314 can reduce erroneous estimation that the subject has used the medicine even though the subject has not used the medicine. The first estimating unit 314 may omit the operation of estimating whether or not the medicine is used in a time zone other than the designated time zone.

  In step S104, the first estimation unit 314 may estimate the presence or absence of the use of the drug using a criterion corresponding to the symptom of the subject as exemplified below. In this example, the first estimation unit 314 receives prescription data from the first acquisition unit 311. The prescription data includes symptom data. The first estimation unit 314 acquires symptom data from prescription data. The 1st estimation part 314 selects the reference | standard corresponding to a subject's symptom from use estimation criteria based on symptom data. Usage estimation criteria include criteria for each symptom. In one example, the criteria for each symptom includes a threshold of the degree of variation that varies for each symptom. In another example, the criteria for each symptom includes a threshold of the degree of deviation from the reference data that differs for each symptom. The 1st estimation part 314 estimates the presence or absence of use of a chemical | medical agent using the reference | standard corresponding to a subject's symptom. One reason why the first estimation unit 314 uses the criterion corresponding to the symptom of the subject is that the amount of change in the physical quantity due to the use of the drug differs depending on the symptom. For example, in the first symptom, the physical quantity varies greatly depending on the use of the first drug, but in the second symptom, the physical quantity may vary only slightly depending on the use of the second drug. The 1st estimation part 314 can improve the estimation precision of the presence or absence of use of the chemical | medical agent by a subject by using the reference | standard corresponding to a subject's symptom.

  In step S104, the first estimation unit 314 may estimate the presence or absence of the use of a medicine using a standard corresponding to the medicine prescribed to the subject, as exemplified below. In this example, the first estimation unit 314 receives prescription data from the first acquisition unit 311. The prescription data includes at least one of drug name data and drug ID data. The first estimation unit 314 acquires at least one of drug name data and drug ID data from the prescription data. The 1st estimation part 314 selects the reference | standard corresponding to the chemical | medical agent prescribed | regulated to the subject from use estimation criteria based on at least any one of chemical | medical agent name data and chemical | medical agent ID data. Usage estimation criteria include criteria for each drug. In one example, the criteria for each drug includes a threshold value of the degree of variation that varies from drug to drug. In another example, the criterion for each medicine includes a threshold value of the degree of deviation from the reference data that is different for each medicine. The 1st estimation part 314 estimates the presence or absence of use of a chemical | medical agent using the reference | standard corresponding to the chemical | medical agent prescribed | regulated to the subject. One reason why the first estimation unit 314 uses the standard corresponding to the medicine prescribed to the subject is because the amount of variation in physical quantity varies depending on the medicine. For example, in the first symptom, the physical quantity varies greatly depending on the use of the first drug, but in the second symptom, the physical quantity may vary only slightly depending on the use of the second drug. For example, even if the symptoms are the same, the physical quantity varies greatly depending on the use of the third drug, but may vary only slightly depending on the use of the fourth drug. The 1st estimation part 314 can improve the estimation precision of the presence or absence of the use of the chemical | medical agent by a subject by using the reference | standard corresponding to the chemical | medical agent prescribed | regulated to the subject.

  Note that in step S104, the first estimation unit 314 may estimate the presence or absence of the use of the medicine by using a criterion corresponding to the attribute of the subject as illustrated below. In this example, the first estimation unit 314 receives prescription data from the first acquisition unit 311. The first estimation unit 314 receives biometric data from the second acquisition unit 313. The prescription data or the biometric data includes the attribute data of the subject. The 1st estimation part 314 acquires a subject's attribute data from prescription data or biometric data. The first estimation unit 314 selects a criterion corresponding to the attribute of the subject from the usage estimation criteria based on the attribute data of the subject. The usage estimation criterion includes a criterion for each attribute. In one example, the criterion for each attribute includes a threshold value of a variation degree that varies for each attribute. In another example, the criterion for each attribute includes a threshold value of the degree of deviation from the reference data that is different for each attribute. Note that the usage estimation criterion may include a criterion for each attribute based on any one element (for example, gender). The usage estimation criterion may include a criterion for each attribute based on any combination of two or more elements (for example, a combination of gender and nationality). The 1st estimation part 314 estimates the presence or absence of use of a chemical | medical agent using the reference | standard corresponding to a subject's attribute. One reason why the first estimation unit 314 uses the reference corresponding to the attribute of the subject is that the amount of change in the physical quantity due to the use of the drug differs depending on the attribute. For example, in the first attribute, the physical quantity varies greatly depending on the use of the drug, but in the second attribute, the physical quantity may vary only slightly even if the same drug is used. The 1st estimation part 314 can improve the estimation precision of the presence or absence of use of the chemical | medical agent by a subject by using the reference | standard corresponding to a subject's attribute.

§4 Action / Effect As described above, in this embodiment, the medicine management server 3 estimates the presence / absence of use of the medicine by the subject based on the physical quantity data included in the biological data, and uses the prescription data and the medicine. The amount of remaining drug can be estimated based on the number of times the drug is used depending on the presence or absence of the drug.
By using the biometric data and prescription data, the medicine management server 3 can estimate the remaining amount of the subject without depending on the input of information by the subject. The medicine management server 3 can improve the estimation accuracy of the remaining medicine amount by estimating the remaining medicine amount of the subject person without depending on the input of information by the subject person. As a result, the subject can grasp the remaining drug amount while omitting the input indicating the use of the drug.

Furthermore, in this embodiment, the medicine management server 3 can estimate the remaining medicine amount based on the prescription amount, the usage amount, and the number of times the medicine is used.
The drug management server 3 can improve the estimation accuracy of the remaining drug amount by estimating the remaining drug amount of the subject using the prescription amount, the used amount, and the number of times the drug is used.

Furthermore, in this embodiment, the medicine management server 3 can determine the type of physical quantity to be acquired based on medicine ID data or medicine name data.
The physical quantity varies depending on the drug. The medicine management server 3 can determine the type of physical quantity suitable for estimating the presence or absence of use of the medicine by the subject based on the medicine ID data or medicine name data.

Furthermore, in the present embodiment, the medicine management server 3 can estimate the presence or absence of the medicine depending on whether or not the physical quantity data satisfies the usage estimation criterion.
Thereby, the medicine management server 3 can estimate whether or not the medicine is used without being shaken by the person by using the use estimation criterion for each person.

Furthermore, in the present embodiment, the medicine management server 3 can output a first support signal that supports the subject in accordance with the amount of remaining medicine.
Thereby, the medicine management server 3 can notify the subject that the amount of remaining medicine is low, or can prompt the subject to make an examination at the hospital or to make a prescription for medicine according to the amount of remaining medicine.

Furthermore, in this embodiment, the medicine management server 3 can estimate the presence or absence of use of the medicine by the subject based on data related to the specified time zone in the physical quantity data.
Even in a situation where the subject is not using the medicine, the value based on the estimation target data may temporarily exceed the threshold. The medicine management server 3 can improve the estimation accuracy of the presence or absence of the use of the medicine by the subject by estimating the presence or absence of the use of the medicine based on the data related to the designated time zone. Furthermore, the medicine management server 3 can reduce the load of the estimation operation by omitting the operation of estimating whether or not the medicine is used in a time zone other than the designated time zone.

Furthermore, in this embodiment, the medicine management server 3 can estimate the presence or absence of the use of the medicine by the subject using the criteria corresponding to the symptoms of the subject included in the usage estimation criteria.
The amount of change in physical quantity due to the use of drugs varies depending on the symptoms. The medicine management server 3 can improve the estimation accuracy of the presence or absence of the use of the medicine by the subject by using the standard corresponding to the symptom of the subject.

Furthermore, in this embodiment, the medicine management server 3 can estimate the presence or absence of the use of the medicine by the subject using the criteria corresponding to the medicine prescribed to the subject included in the usage estimation criteria.
Even for the same symptom, the amount of change in physical quantity varies depending on the drug used by the subject. The medicine management server 3 can improve the estimation accuracy of the presence or absence of use of the medicine by the subject by using the standard corresponding to the medicine prescribed to the subject.

Furthermore, in the present embodiment, the medicine management server 3 can estimate the presence or absence of use of the medicine by the subject using the criteria corresponding to the attributes of the subject included in the usage estimation criteria.
Even if people with different attributes use the same medicine, the amount of variation in physical quantity is different. The medicine management server 3 can improve the estimation accuracy of the presence or absence of use of the medicine by the subject by using the reference corresponding to the attribute of the subject.

Furthermore, in this embodiment, the medicine management server 3 can output the first support signal according to the estimation result indicating that the remaining medicine amount does not satisfy the remaining medicine amount estimation criterion.
Thereby, the medicine management server 3 can perform support without being shaken by a person by using the remaining drug amount estimation standard for each person.

§5 Modification
(5-2 Modification 1)
In the present embodiment, the medicine management server 3 is configured by hardware different from the PHR server 1 and the EHR server 2, but is not limited thereto. The medicine management server 3 may be configured integrally with the PHR server 1. The medicine management server 3 may be configured integrally with the EHR server 2. The above-described remaining drug amount estimation operation is not limited to the medicine management server 3 and may be executed by various devices such as a portable terminal or a measuring device that measures a physical quantity of a living body.

(5-2 Modification 2)
In short, the present invention is not limited to the present embodiment as it is, and can be embodied by modifying the components without departing from the scope of the invention in the implementation stage. Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the present embodiment. For example, some components may be deleted from all the components shown in the present embodiment. Furthermore, you may combine the component covering different embodiment suitably.

§6 Appendix
A part or all of this embodiment can be described as shown in the following supplementary notes in addition to the scope of claims, but is not limited thereto.
(Appendix)
A first acquisition unit (311) for acquiring prescription data including data indicating a medicine prescribed to the subject;
A second acquisition unit (313) for acquiring biological data including data indicating fluctuations in physical quantities of the subject's biological body;
A first estimation unit (314) for estimating the presence or absence of use of the medicine by the subject based on data indicating fluctuations in the physical quantity;
A second estimation unit (315) for estimating the amount of remaining medicine based on the prescription data and the number of uses depending on whether or not the medicine is used;
A medicine management device (3).

  DESCRIPTION OF SYMBOLS 1 ... PHR server, 2 ... EHR server, 3 ... Drug management server, 11 ... Processor, 12 ... ROM, 13 ... RAM, 14 ... Storage device, 15 ... Communication interface, 21 ... Processor, 22 ... ROM, 23 ... RAM, 24 ... Storage device, 25 ... Communication interface, 31 ... Processor, 32 ... ROM, 33 ... RAM, 34 ... Storage device, 35 ... Communication interface, 100 ... Drug management system, 311 ... First acquisition unit, 312 ... Determination unit 313: 2nd acquisition unit, 314: 1st estimation unit, 315 ... 2nd estimation unit, 316 ... 1st output unit, 317 ... 2nd output unit.

Claims (12)

A first acquisition unit that acquires prescription data including data indicating a medicine prescribed to the subject;
A second acquisition unit that acquires biological data including data indicating a change in physical quantity of the subject's biological body;
A first estimator for estimating presence or absence of use of the medicine by the subject based on data indicating fluctuations in the physical quantity;
A second estimation unit that estimates the amount of remaining medicine based on the prescription data and the number of uses depending on whether or not the medicine is used;
A drug management device comprising: The prescription data includes data indicating a prescription amount of the drug and data indicating a use amount of the drug per time,
The second estimation unit estimates the remaining drug amount based on the prescription amount, the use amount, and the number of uses.
The medicine management device according to claim 1.   The medicine management apparatus according to claim 1, further comprising a determination unit that determines a type of the physical quantity to be acquired based on data indicating the medicine.   The first estimation unit compares the data indicating the fluctuation of the physical quantity with a predetermined use estimation criterion, and determines whether the drug indicating the fluctuation of the physical quantity satisfies the usage estimation criterion. The drug management device according to claim 1, wherein the presence or absence of use of the drug is estimated.   The medicine management apparatus according to claim 1, further comprising an output unit that outputs a signal that supports the subject according to the remaining medicine amount. The prescription data includes data indicating use timing of the drug and data indicating an effect occurrence time after use of the drug,
The first estimating unit designates a time zone for estimating the presence or absence of use of the medicine based on the use timing and the effect occurrence time, and relates to the time zone in the data indicating the fluctuation of the physical quantity The medicine management apparatus according to claim 1, wherein the presence or absence of use of the medicine is estimated based on data to be performed. The prescription data includes data indicating the subject's symptoms,
The use estimation criteria includes criteria for each symptom,
The drug management apparatus according to claim 4, wherein the first estimation unit estimates whether or not the drug is used, using a criterion corresponding to the symptom of the subject. The usage estimation criteria include criteria for each drug,
The medicine management apparatus according to claim 4, wherein the first estimation unit estimates the presence or absence of use of the medicine using a standard corresponding to the medicine prescribed to the subject. The prescription data or the biometric data includes data indicating the attributes of the subject,
The usage estimation criterion includes a criterion for each attribute,
The medicine management apparatus according to claim 4, wherein the first estimation unit estimates whether or not the medicine is used by using a criterion corresponding to the attribute of the subject. The second estimating unit compares the residual drug amount with a predetermined residual drug amount estimation criterion, and estimates whether the residual drug amount satisfies the residual drug amount estimation criterion;
The medicine management device according to claim 5, wherein the output unit outputs the signal according to an estimation result indicating that the remaining medicine amount does not satisfy the remaining medicine amount estimation criterion. A first acquisition process of acquiring prescription data including data indicating a medicine prescribed to the subject;
A second acquisition step of acquiring biological data including data indicating fluctuations in physical quantities of the subject's biological body;
A first estimation process for estimating the presence or absence of use of the medicine by the subject based on data indicating fluctuations in the physical quantity;
A second estimation process for estimating the amount of remaining medicine based on the prescription data and the number of uses depending on whether or not the medicine is used;
A drug management method comprising:   A storage medium storing a medicine management program for causing a computer to execute processing of each unit included in the medicine management apparatus according to claim 1.